PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET

Zacharie Irace, Anthonin Reilhac, Bruno Mendez De Vigo, Hadj Batatia, Nicolas Costes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The quality of the measurements obtained in Positron Emission Tomography (PET) is severely limited by partial volume effects (PVE). This study proposes a Partial Volume Correction (PVC) technique that considers the spatial variability of the system's Point Spread Function (PSF) across the Field Of View (FOV). The proposed PSF model uses Principal Component Analysis to express their variability according to a small number of components called eigen-PSF, forming an orthonormal basis. The interpolation of the coordinates of these PSFs in this created basis allows their precise estimation across the FOV of the system. The resulting image degradation model can be expressed as a weighted sum of convolutions that can be integrated efficiently into classical PVC algorithms. Initial results shows accurate PSF estimation as well as significant image restoration.

Original languageEnglish
Title of host publication2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)
PublisherIEEE
ISBN (Electronic)9781509016426
DOIs
Publication statusPublished - 19 Oct 2017
Event2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop - Strasbourg, France
Duration: 29 Oct 20166 Nov 2016

Conference

Conference2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop
Abbreviated titleNSS/MIC/RTSD 2016
CountryFrance
CityStrasbourg
Period29/10/166/11/16

Keywords

  • Deconvolution
  • Partial Volume Effect
  • PET
  • Point Spread Function

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Instrumentation
  • Nuclear and High Energy Physics
  • Electronic, Optical and Magnetic Materials

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